Prediction of places of visit using tweets

Author:

Chauhan ArunORCID,Kummamuru Krishna,Toshniwal Durga

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference42 articles.

1. Abel F, Gao Q, Houben G-J, Tao K (2013) Twitter-based user modeling for news recommendations. In: Rossi F (ed) IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3–9, 2013. IJCAI/AAAI. http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6683

2. Argamon S, Koppel M, Pennebaker JW, Schler J (2007) Mining the blogosphere: age, gender and the varieties of self-expression. First Monday 12, 9. http://dblp.uni-trier.de/db/journals/firstmonday/firstmonday12.html#ArgamonKPS07

3. Asur S, Huberman BA (2010) Predicting the future with social media. In: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology—Volume 01 (WI-IAT ’10). IEEE Computer Society, Washington, DC, USA, pp 492–499. doi: 10.1109/WI-IAT.2010.63

4. Badenes H, Bengualid MN, Chen J, Gou L, Haber E, Mahmud J, Nichols JW, Pal A, Schoudt J, Smith BA, Xuan Y, Yang H, Zhou MX (2014) System U: automatically deriving personality traits from social media for people recommendation. In: Proceedings of the 8th ACM conference on recommender systems (RecSys ’14). ACM, New York, NY, USA, pp 373–374. doi: 10.1145/2645710.2645719

5. Bao J, Zheng Y, Mokbel MF (2012) Location-based and preference-aware recommendation using sparse geo-social networking data. In: Proceedings of the 20th International conference on advances in geographic information systems (SIGSPATIAL ’12). ACM, New York, NY, USA, pp 199–208. doi: 10.1145/2424321.2424348

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